Here's everything that happens in our platform from typing in a query and pressing “Go” to getting your Prediction Report.
Obviously AI is powered by natural language, obviously we had to create a guide and question bank for Natural Language Analytics.
So you’ve added ML into your workflow, now what? How do you analyze and get value out of the data you collected? You have to be data literate.
Instead of talking to data in a SQL query, it’s much more manageable and less time consuming to ask your data questions another way.
Modern Product Managers are in charge of sparking innovation in their company, but few know how to change data science into user science.
Let’s define AI, machine learning, and predictive analytics in an easy, non-technical way.
Run complex Predictions and Analytics on your data simply by asking natural language questions.